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Sensing Human Activity

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If you have a question about this talk, please contact Andrew Rice.

I have been working on an apparatus to sense and describe the activities of live-alone elderly and infirm. I have devised a small wearable device that transforms raw sensor data into a very simple, yet useful activity model. This spin on the “Internet of Things” may be of value to to domain experts who don’t wish to spend years learning about ranging radios and signal processing. My specific technical goals are: automatically to recognize patterns of behavior, spot situations of concern, and to detect very slow physical changes in behavior.

This talk is part of the Computer Laboratory Digital Technology Group (DTG) Meetings series.

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